Abstract
Insect damage in fruits and vegetables cause major production and economic losses in the agriculture and food industry worldwide. Monitoring of internal quality and detection of insect infestation in fruits and vegetables is critical for sustainable agriculture. Early detection of an infestation in fruits can facilitate the control of insects and the quarantine operations through proper post-harvest management strategies and can improve productivity. The present review recognizes the need for developing a rapid, cost-effective, and reliable insect infestation monitoring system that would lead to advancements in agriculture and food industry. In this paper, an overview of non-destructive detection insect damages in fruits and vegetables was presented, and the research and applications were discussed. This paper elaborated all of the post-harvest fruit infestation detection methods which are based on the following technologies: optical properties, machine vision technique, sonic properties, magnetic resonance imaging (MRI), thermal imaging, x-ray computed tomography and chemical chromatography. Also, the main challenges and limitations of non-destructive detection methods in the agricultural products quality assessment were also elucidated.
Document Type
Review
Publication Date
2016
Funding Information
The authors would also like to thank the Ministry of science, research and technology of Iran for the financial support.
Related Content
The information reported in this paper (#15-05-098) is part of a project of the Kentucky Agricultural Experiment station and is published with the approval of the Director.
Repository Citation
Ekramirad, Nader; Adedeji, Akinbode A.; and Alimardani, Reza, "A Review of Non-Destructive Methods for Detection of Insect Infestation in Fruits and Vegetables" (2016). Biosystems and Agricultural Engineering Faculty Publications. 20.
https://uknowledge.uky.edu/bae_facpub/20
Included in
Agriculture Commons, Bioresource and Agricultural Engineering Commons, Food Science Commons, Plant Sciences Commons
Notes/Citation Information
Published in Innovations in Food Research, v. 2, p. 6-12.
© 2015 by the authors; licensee Innovations in Food Research.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).